DEVICE AND METHOD FOR DETERMINING STORAGE BATTERY RENTAL CAPACITY

• US 20130066791A1
• Filed: 07/06/2012
• Published: 03/14/2013
• Est. Priority Date: 09/09/2011
• Status: Abandoned Application

• Current Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Original Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Inventors: KUBOTA, Kazuto, IMAHARA, Shuichiro, SAKAMOTO, Hideo
• Application Number:
  US13/543,077
• Publication Number:
  US 20130066791A1
• Time in Patent Office: Days
• US Class Current: 705/307
• CPC Class Codes: G01D 2204/28 Processes or tasks scheduled according to the power required, the power available or the power price
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 13/00002 characterised by monitoring
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: H02J 3/004 Generation forecast, e.g. methods or systems for forecasting future energy generation
• CPC Class Codes: H02J 3/32 using batteries with converting means
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y02B 90/20 Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 10/14 Energy storage units
• CPC Class Codes: Y04S 10/30 State monitoring, e.g. fault, temperature monitoring, insulator monitoring, corona discharge
• CPC Class Codes: Y04S 10/50 Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
• CPC Class Codes: Y04S 20/00 Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
• CPC Class Codes: Y04S 20/12 Energy storage units, uninterruptible power supply [UPS] systems or standby or emergency generators, e.g. in the last power distribution stages
• CPC Class Codes: Y04S 20/242 Home appliances
• CPC Class Codes: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid

Abstract

There is provided a device for determining a rental capacity of a storage battery in which an appliance load predicting unit predicts a demand amount of a household electrical appliance; a power generator predicting unit predicts a power generation amount of a power generator; a constraint condition creating unit creates a constraint condition including first and second constraint expressions, the former matching the predicted demand amount with total electric power supplied to the household electrical appliance and the latter matching the predicted power generation amount with a sum of a power sale amount to the power supplier, a charge amount into the storage battery, and a supply amount to the household electrical appliance; an objective function creating unit creates an objective function based on a sale benefit function, a rental benefit function, a purchase cost function; and an optimization computing unit optimize the objective function to obtains a rental capacity.

Claims

1. A device that determines a rental capacity of a storage battery to rent to a power supplier a part or all of a capacity of the storage battery owned by a consumer who has a power generator, the storage battery, and a household electrical appliance, and purchases electric power from the power supplier, comprising:

a condition acquiring unit configured to acquire a rental condition of the storage battery, the rental condition including a rental period to the power supplier, and a rental price of each of rental capacities;

an appliance load predicting unit configured to predict a demand amount of the household electrical appliance with respect to a time zone including the rental period based on an operation history of the household electrical appliance;

a power generator predicting unit configured to predict a power generation amount of the power generator with respect to the time zone including the rental period based on an power generation history of the power generator;

a constraint condition creating unit configured to create a constraint condition including a first constraint expression and a second satisfaction constraint expression with respect to the time zone including the rental period wherein the first constraint expression is configured to match the demand amount of the household electrical appliance with total electric power supplied to the household electrical appliance from the power generator, the storage battery, and the power supplier, and the second constraint expression is configured to match the power generation amount of the power generator with a sum of a power sale amount to the power supplier, a charge amount into the storage battery, and a supply amount to the household electrical appliance;

an objective function creating unit configured to create a first objective function or a second objective function by using sale price data and purchase price data of electric power, a purchase cost function in the rental period, a sale benefit function in the rental period, and a rental benefit function of the rental capacity wherein the first objective function defines to subtract the sale benefit function and the rental benefit function from the purchase cost function, and the second objective function defines to subtract the purchase cost function from a sum of the sale benefit function and the rental benefit function; and

an optimization computing unit configured to minimize the first objective function or maximize the second objective function under the constraint condition to obtain a rental capacity rentable to the power supplier in the rental period.

2. The device according to claim 1,

wherein the constraint condition further includes a constraint expression that the capacity of the storage battery is equal to or less than a predetermined upper limit value except in the rental period, and is equal to or less than the rental capacity subtracted from the predetermined upper limit value during the rental period.

3. The device according to claim 2,

wherein the constraint condition further includes a constraint expression that only one of charging into the storage battery and discharging from the storage battery is performed at a time.

4. The device according to claim 1,

wherein the constraint condition creating unit and the objective function creating unit produce the constraint condition, and one of the first objective function and the second objective function in accordance with a mixed integer programming problem.

5. The device according to claim 1,

wherein the rental benefit function is a linear sum of variables representative of the rental capacities and rental prices of the rental capacities,

the constraint condition includes a constraint that the variables respectively have a value of 1 or 0, and a constraint that a sum of the variables is 1, and

the optimization computing unit determines a rental capacity corresponding to the variable having the value of 1 out of the variables as the rentable capacity.

6. The device according to claim 5,

wherein the purchase cost function defines to multiply variables representing amount of electric power supplied to the storage battery and the household electrical appliance from the power supplier by costs to transmit electric power to the storage battery and the household electrical appliance from the power supplier, and add resultant values.

7. The device according to claim 5,

wherein the sale benefit function defines to multiply variables representing amount of electric power supplied to the power supplier from the storage battery and the power generator by costs to transmit electric power to the power supplier from the storage battery and the power generator, and add resultant values.

8. The device according to claim 1,

wherein the storage battery rental condition includes a desired rental capacity by the power supplier, and

the device further comprises a rentability determining unit configured to transmit a response that the rental capacity is rentable to the power supplier when the rental capacity determined by the optimization computing unit is equal to or more than the desired rental capacity, and transmits a response that the rental capacity is not rentable to the power supplier when the determined rental capacity is less than the desired rental capacity.

9. A method that determines a rental condition of a storage battery to rent to a power supplier a part or all of a capacity of the storage battery owned by a consumer who has a power generator, the storage battery, and a household electrical appliance, and purchases electric power from the power supplier, comprising:

acquiring a rental condition of the storage battery, the rental condition including a rental period to the power supplier, and a rental price of each of rental capacities;

predicting a demand amount of the household electrical appliance with respect to a time zone including the rental period based on an operation history of the household electrical appliance;

predicting a power generation amount of the power generator with respect to the time zone including the rental period based on an power generation history of the power generator;

creating a constraint condition including a first constraint expression and a second satisfaction constraint expression with respect to the time zone including the rental period wherein the first constraint expression is configured to match the demand amount of the household electrical appliance with total electric power supplied to the household electrical appliance from the power generator, the storage battery, and the power supplier, and the second constraint expression is configured to match the power generation amount of the power generator with a sum of a power sale amount to the power supplier, a charge amount into the storage battery, and a supply amount to the household electrical appliance;

creating a first objective function or a second objective function by using sale price data and purchase price data of electric power, a purchase cost function in the rental period, a sale benefit function in the rental period, and a rental benefit function of the rental capacity wherein the first objective function defines to subtract the sale benefit function and the rental benefit function from the purchase cost function, and the second objective function defines to subtract the purchase cost function from a sum of the sale benefit function and the rental benefit function; and

minimizing the first objective function or maximizing the second objective function under the constraint condition to obtain a rental capacity rentable to the power supplier in the rental period.